numpy.bmat

numpy.copyto

# Array manipulation routines¶

## Basic operations¶

 copyto(dst, src[, casting, where]) Copies values from one array to another, broadcasting as necessary.

## Changing array shape¶

 reshape(a, newshape[, order]) Gives a new shape to an array without changing its data. ravel(a[, order]) Return a contiguous flattened array. ndarray.flat A 1-D iterator over the array. ndarray.flatten([order]) Return a copy of the array collapsed into one dimension.

## Transpose-like operations¶

 moveaxis(a, source, destination) Move axes of an array to new positions. rollaxis(a, axis[, start]) Roll the specified axis backwards, until it lies in a given position. swapaxes(a, axis1, axis2) Interchange two axes of an array. ndarray.T Same as self.transpose(), except that self is returned if self.ndim < 2. transpose(a[, axes]) Permute the dimensions of an array.

## Changing number of dimensions¶

 atleast_1d(*arys) Convert inputs to arrays with at least one dimension. atleast_2d(*arys) View inputs as arrays with at least two dimensions. atleast_3d(*arys) View inputs as arrays with at least three dimensions. broadcast Produce an object that mimics broadcasting. broadcast_to(array, shape[, subok]) Broadcast an array to a new shape. broadcast_arrays(*args, **kwargs) Broadcast any number of arrays against each other. expand_dims(a, axis) Expand the shape of an array. squeeze(a[, axis]) Remove single-dimensional entries from the shape of an array.

## Changing kind of array¶

 asarray(a[, dtype, order]) Convert the input to an array. asanyarray(a[, dtype, order]) Convert the input to an ndarray, but pass ndarray subclasses through. asmatrix(data[, dtype]) Interpret the input as a matrix. asfarray(a[, dtype]) Return an array converted to a float type. asfortranarray(a[, dtype]) Return an array laid out in Fortran order in memory. ascontiguousarray(a[, dtype]) Return a contiguous array in memory (C order). asarray_chkfinite(a[, dtype, order]) Convert the input to an array, checking for NaNs or Infs. asscalar(a) Convert an array of size 1 to its scalar equivalent. require(a[, dtype, requirements]) Return an ndarray of the provided type that satisfies requirements.

## Joining arrays¶

 concatenate((a1, a2, ...)[, axis]) Join a sequence of arrays along an existing axis. stack(arrays[, axis]) Join a sequence of arrays along a new axis. column_stack(tup) Stack 1-D arrays as columns into a 2-D array. dstack(tup) Stack arrays in sequence depth wise (along third axis). hstack(tup) Stack arrays in sequence horizontally (column wise). vstack(tup) Stack arrays in sequence vertically (row wise).

## Splitting arrays¶

 split(ary, indices_or_sections[, axis]) Split an array into multiple sub-arrays. array_split(ary, indices_or_sections[, axis]) Split an array into multiple sub-arrays. dsplit(ary, indices_or_sections) Split array into multiple sub-arrays along the 3rd axis (depth). hsplit(ary, indices_or_sections) Split an array into multiple sub-arrays horizontally (column-wise). vsplit(ary, indices_or_sections) Split an array into multiple sub-arrays vertically (row-wise).

## Tiling arrays¶

 tile(A, reps) Construct an array by repeating A the number of times given by reps. repeat(a, repeats[, axis]) Repeat elements of an array.